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Indian Institute of Science, Bengaluru
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Suppressing dominant attention modes can cut hallucination rates in vision-language models by 4% without any training or inference overhead.
GraMO achieves unprecedented accuracy in long-horizon predictions by seamlessly integrating spatial and temporal dynamics in a single model.